Triple
T10030227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wassily |
E204832
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Vassily |
E101378
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vassily | Statement: [Wassily, hasVariantSpelling, Vassily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vassily Context triple: [Wassily, hasVariantSpelling, Vassily]
-
A.
Vasily
chosen
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
B.
Nikolai
Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
-
C.
Pyotr
Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
-
D.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
-
E.
Pavel Kutakhov
Pavel Kutakhov was a prominent Soviet military aviator and Marshal of Aviation who served as Commander-in-Chief of the Soviet Air Forces during the Cold War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde7ec088190845656cc2529c771 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d54c32c8190b175a30c7c905cd2 |
completed | April 10, 2026, 2:46 p.m. |
Created at: March 30, 2026, 8:54 p.m.